Se Young Chun
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiation top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jeffrey A. FesslerYuni K. DewarajaGeorges El FakhriNathaniel M. AlpertKwanyoung KimDongwon ParkCiprian CatanaBastien Guérin
- Topics
- Medical Imaging Techniques and Applications (32 papers)Advanced MRI Techniques and Applications (21 papers)Advanced X-ray and CT Imaging (18 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Se Young Chun
71 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 626
- Biomedical Engineering 285
- Computer Vision and Pattern Recognition 210
- Radiation 157
- Artificial Intelligence 96
Countries citing papers authored by Se Young Chun
This map shows the geographic impact of Se Young Chun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Se Young Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se Young Chun more than expected).
Fields of papers citing papers by Se Young Chun
This network shows the impact of papers produced by Se Young Chun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Se Young Chun. The network helps show where Se Young Chun may publish in the future.
Co-authorship network of co-authors of Se Young Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Se Young Chun. A scholar is included among the top collaborators of Se Young Chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Se Young Chun. Se Young Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing. | 2 |
| 11 | Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements. | 1 |
| 12 | Rotation Ensemble Module for Detecting Rotation-Invariant Features. | 1 |
| 13 | 6 | |
| 14 | 34 | |
| 15 | 5 | |
| 16 | 39 | |
| 17 | 19 | |
| 18 | 139 | |
| 19 | 84 | |
| 20 | Measurements of Turbulent How in 5×5 PWR Rod Bundles With Spacer Grids | 2 |
About Se Young Chun
Se Young Chun is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health Informatics, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (21 papers) and Advanced X-ray and CT Imaging (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (626 citations), Radiation (157 citations) and Computer Vision and Pattern Recognition (210 citations). Se Young Chun has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Jeffrey A. Fessler, Yuni K. Dewaraja, Georges El Fakhri, Nathaniel M. Alpert, Kwanyoung Kim, Dongwon Park, Ciprian Catana, Bastien Guérin, Timothy G. Reese and Jinsong Ouyang. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.